Linked Life Data

17483598

Source:http://linkedlifedata.com/resource/pubmed/id/17483598

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2007-5-7
pubmed:abstractText
Genetic association studies are usually based upon restricted sets of 'tag' markers selected to represent the total sequence variation. Tag selection is often determined by some threshold for the r(2) coefficients of linkage disequilibrium (LD) between tag and untyped markers, it being widely assumed that power to detect an effect at the untyped sites is retained by typing the tag marker in a sample scaled by the inverse of the selected threshold (1/r(2)). However, unless only a single causal variant occurs at a locus, it has been shown [Eur J Hum Genet 2006;14:426-437] that significant power loss can occur if this principle is applied. We sought to investigate whether unexpected loss of power might be an exceptional case or more general concern. In the absence of detailed knowledge about the genetic architecture at complex disease loci, we developed a mathematical approach to test all possible situations.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0001-5652
pubmed:author
pubmed:copyrightInfo
(c) 2007 S. Karger AG, Basel
pubmed:issnType
Print
pubmed:volume
64
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
63-73
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Detailed analysis of the relative power of direct and indirect association studies and the implications for their interpretation.
pubmed:affiliation
Department of Psychological Medicine, Wales College of Medicine, Cardiff University, Cardiff, UK. MoskvinaV1@cardiff.ac.uk
pubmed:publicationType
Journal Article